Triple
T7414787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Substitution–permutation network |
E171101
|
entity |
| Predicate | canBeAnalyzedBy |
P62315
|
FINISHED |
| Object | differential cryptanalysis |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: differential cryptanalysis | Statement: [Substitution–permutation network, canBeAnalyzedBy, differential cryptanalysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAnalyzedBy Context triple: [Substitution–permutation network, canBeAnalyzedBy, differential cryptanalysis]
-
A.
hasAnalysis
Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
-
B.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
C.
canBeDissectedBy
chosen
Indicates that one entity is capable of being divided or analyzed into parts by another entity or method.
-
D.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
E.
canDetermine
Indicates that one entity has the ability or authority to find out, establish, or decide the state, value, or outcome of another entity or situation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c509ac8190876f207267a33a3b |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.